Robust 3-D Location Estimation in the Presence of Anchor Placement and Range Errors
- Resource Type
- Conference
- Authors
- Suliman, Mohamed A.; Ballal, Tarig; AlSharif, Mohammed H.; Saad, Mohamed; Al-Naffouri, Tareq Y.
- Source
- 2018 15th Workshop on Positioning, Navigation and Communications (WPNC) Positioning, Navigation and Communications (WPNC), 2018 15th Workshop on. :1-5 Oct, 2018
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Measurement errors
Simulation
Estimation
Statistical distributions
Tools
Benchmark testing
Programming
3-D location estimation
matrix uncertainty
robust convex optimization.
- Language
This paper addresses the problem of 3-D location estimation from perturbed range information and uncertain anchor positions. The 3-D location estimation problem is formulated as a min-max convex optimization problem with a set of second-order cone constraints. Robust optimization tools are applied to convert these cone constrains to semi-definite programming constraints and achieve robust location estimation without prior knowledge of the statistical distributions of the errors. Simulation results demonstrate the superiority of the proposed approach over other benchmark algorithms in a wide range of measurement error scenarios.